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International Conference on Information Technology: Coding and Computing (ITCC '01)
Content-based Retrieval and Data Mining of a Skin Cancer Image Database
Las Vegas, NV
April 02-April 04
ISBN: 0-7695-1062-0
ASCII Text
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Soon M. Chung, Qing Wang, "Content-based Retrieval and Data Mining of a Skin Cancer Image Database," Information Technology: Coding and Computing, International Conference on, pp. 0611, International Conference on Information Technology: Coding and Computing (ITCC '01), 2001.
 
 
BibTex
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@article{ 10.1109/ITCC.2001.918864,
author = {Soon M. Chung and Qing Wang},
title = {Content-based Retrieval and Data Mining of a Skin Cancer Image Database},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1062-0},
pages = {0611},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2001.918864},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - Content-based Retrieval and Data Mining of a Skin Cancer Image Database
SN - 0-7695-1062-0
SP
EP
A1 - Soon M. Chung,
A1 - Qing Wang,
PY - 2001
KW - data mining
KW - association rules
KW - Web database
KW - multimedia
KW - skin cancer images.
VL - 0
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Soon M. Chung, Wright State University
Qing Wang, Wright State University
Abstract: Skin cancer is the most common type of cancer in the United State. A large, shared skin cancer image database on the Internet will be quite valuable to the medical professionals and consumers. In this paper, a skin cancer image database is created using a three-tier system: a client application implemented in Java applets, a web server, and a backend database server. JDBC-ODBC is used for the web server to communicate with the database server. Various browsing and content-based retrieval methods are supported for the skin cancer image database through web-based graphic user interfaces. A data mining algorithm for finding association rules between different features of the skin cancer images is also implemented.
Index Terms:
data mining, association rules, Web database, multimedia, skin cancer images.
Citation:
Soon M. Chung, Qing Wang, "Content-based Retrieval and Data Mining of a Skin Cancer Image Database," itcc, pp.0611, International Conference on Information Technology: Coding and Computing (ITCC '01), 2001
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